• DocumentCode
    3587128
  • Title

    A nanorobot swarming algorithm based on bacteria foraging optimization to eradicate cancer cells

  • Author

    Qing-Ying Zhao ; Min Li ; Jun Luo ; Yang Li ; Lianhang Dou

  • Author_Institution
    Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
  • fYear
    2014
  • Firstpage
    2599
  • Lastpage
    2604
  • Abstract
    Multi-robot cooperation is a critical technology for nanorobotics and nanomedicine. This paper presents a nanorobot swarming algorithm based on Bacteria Foraging Optimization with the aim of eradicating cancer cells in blood vessels. In the algorithm, each nanorobot is considered as a bacterium with specified chemotaxis and swarming behavior. A simulation environment reflecting the property of concentration, diffusion-rate and evaporation-rate of chemical substance is established in the paper. And simulations have been conducted to evaluate the effectiveness of swarming algorithm in a local field of blood vessel.
  • Keywords
    blood vessels; cancer; medical robotics; microrobots; nanomedicine; optimisation; bacteria foraging optimization; cancer cells eradication; chemical substance; chemotaxis; diffusion-rate; eradicate cancer cells; evaporation-rate; local blood vessel field; multirobot cooperation; nanomedicine; nanorobot swarming algorithm; simulation environment; Blood vessels; Cancer; Chemicals; Drugs; Microorganisms; Nanobioscience; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ROBIO.2014.7090733
  • Filename
    7090733